Improving Programming Education Quality with Automatic Grading System

  • Yun-Zhan CaiEmail author
  • Meng-Hsun Tsai
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11937)


As the rapid growth of information technology, the demand for proficiency in software programming skyrockets. Compared to teaching with slides traditionally, hands-on programming training is more beneficial and practical. However, it is exhausting and time-consuming for educators to grade all assignments in person. Besides, students may not get feedback immediately to correct their wrong conceptions. Therefore, an automatic grading system is required to grade and send feedback to students. Based on an existing continuous integration system, which checks whether new programs behave as expected, we develop a set of course management tools and deploy an automatic grading system in this paper. Our system requires a server to run and test the programs. However, the server is susceptible to being compromised by hackers. Therefore, how we protect sensitive data and prevent malicious network traffic are demonstrated in this paper as well. The tools were applied in an Android application development course with 140 students enrolled. Around 72% of the students indicate the automatic grading system is beneficial to their learning.


Android Continuous integration Programming education Software design 



This work was supported by the Center for Open Intelligent Connectivity through the Featured Areas Research Center Program within the Framework of the Higher Education Sprout Project by the Ministry of Education in Taiwan. The work of Y.-Z. Cai was sponsored by the R&D enhancement project “R&D of Network Behavior Security Analyses for IoT Devices on Advanced Edge Switch in an AIOT plus SDN Integrated Platform,” which is executed by EstiNet Technologies Inc. and partially sponsored by Hsinchu Science Park Bureau, Ministry of Science and Technology, Taiwan, R.O.C. The work of M.-H. Tsai was supported in part by the MOST under Grant 107-2221-E-006-062 and Grant 108-2221-E-006-112, and in part by the Industrial Technology Research Institute.


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Computer Science and Information EngineeringNational Cheng Kung UniversityTainanTaiwan

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